Unravelling the Paradigm: Prioritizing Process over Results—Sports Training as a Catalyst for Age-Friendly CUI Design
Bibliographic record
Abstract
Existing accessibility research may unintentionally marginalize older adults and exacerbate the digital divide. Emerging Conversational User Interfaces (CUI), particularly in essential sectors like finance, lack age-friendliness design. Through a review of CUI literature, we illustrate how existing evidence underscores the prevalent exclusion of older adults in research and design. The exclusion of this demographic is stark and more pronounced in services in many critical domains, e.g., finance. To rectify this, we must fundamentally alter our approach to CUI design to actively involve older adults from its inception. We argue that we need fundamental shifts in our methods, prioritizing processes over specific outcomes in design methodologies. This entails close collaboration with older adults throughout the research and design to gain deep insights into their needs, mental models, and expectations. It is time to confront these biases and ensure equitable access for all.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".